01
Collect traceable data
We start with official attraction pricing and structured market observations for variable categories such as accommodation and flights. Where the underlying data includes a verification or checked date, we preserve that freshness signal.
02
Compare like with like
For market-priced categories, context matters. Hotel observations are matched using factors such as city, neighborhood, travel style, star range, dates, room type, meal plan and occupancy where available.
03
Deduplicate observations
Repeated hotel offers can distort a benchmark. Our pricing pipeline groups hotel identities and comparable offers, removes duplicate provider observations and avoids counting the same underlying offer as independent evidence.
04
Build realistic ranges
When enough comparable observations exist, we use the distribution of prices rather than selecting the cheapest listing. For observed hotel data, our benchmark uses the 25th percentile as the lower range, the median as the expected value and the 75th percentile as the upper range.
05
Measure confidence
Confidence is tied to evidence. For hotel observations, the system considers the number of unique hotels and the breadth of providers, and separately tracks cross-provider validation where comparable offers overlap.
06
Apply the estimate to your trip
The calculator combines the relevant pricing inputs with your trip choices — such as destination, dates, travel style, party and selected attractions — so the result reflects your scenario rather than a single generic Egypt average.
Trust the method, not a marketing claim.
Our goal is simple: show the number, explain what kind of number it is, make uncertainty visible, and give you enough context to decide for yourself.
Methodology last reviewed: August 2026